{"id":"https://openalex.org/W4206791780","doi":"https://doi.org/10.1109/idsta53674.2021.9660816","title":"Estimating Deforestation using Machine Learning Algorithms","display_name":"Estimating Deforestation using Machine Learning Algorithms","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W4206791780","doi":"https://doi.org/10.1109/idsta53674.2021.9660816"},"language":"en","primary_location":{"id":"doi:10.1109/idsta53674.2021.9660816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta53674.2021.9660816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112733577","display_name":"Keanu Nichols","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088717","display_name":"University of the West Indies","ror":"https://ror.org/003kgv736","country_code":"TT","type":"education","lineage":["https://openalex.org/I137799390","https://openalex.org/I4210088717"]}],"countries":["TT"],"is_corresponding":false,"raw_author_name":"Keanu Nichols","raw_affiliation_strings":["Department of Computer Science, The University of the West Indies, St. Augustine, Trinidad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of the West Indies, St. Augustine, Trinidad","institution_ids":["https://openalex.org/I4210088717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004807992","display_name":"Patrick Hosein","orcid":"https://orcid.org/0000-0003-1729-559X"},"institutions":[{"id":"https://openalex.org/I4210088717","display_name":"University of the West Indies","ror":"https://ror.org/003kgv736","country_code":"TT","type":"education","lineage":["https://openalex.org/I137799390","https://openalex.org/I4210088717"]}],"countries":["TT"],"is_corresponding":false,"raw_author_name":"Patrick Hosein","raw_affiliation_strings":["Department of Computer Science, The University of the West Indies, St. Augustine, Trinidad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of the West Indies, St. Augustine, Trinidad","institution_ids":["https://openalex.org/I4210088717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4578,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.60575486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7989351749420166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7176040410995483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689469814300537},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6340028643608093},{"id":"https://openalex.org/keywords/deforestation","display_name":"Deforestation (computer science)","score":0.605707049369812},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5504879355430603},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5256097316741943},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5213695168495178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4916430115699768},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.48588842153549194},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42909783124923706},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.42704084515571594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989351749420166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7176040410995483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689469814300537},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6340028643608093},{"id":"https://openalex.org/C2777399953","wikidata":"https://www.wikidata.org/wiki/Q2155658","display_name":"Deforestation (computer science)","level":2,"score":0.605707049369812},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5504879355430603},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5256097316741943},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5213695168495178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4916430115699768},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.48588842153549194},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42909783124923706},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.42704084515571594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idsta53674.2021.9660816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta53674.2021.9660816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1956326043","https://openalex.org/W2025745000","https://openalex.org/W2065167755","https://openalex.org/W2076111734","https://openalex.org/W2194277957","https://openalex.org/W2412782625","https://openalex.org/W2737250466","https://openalex.org/W2755766995","https://openalex.org/W2808092904","https://openalex.org/W2885428733","https://openalex.org/W2902190145","https://openalex.org/W2910101086","https://openalex.org/W2937951674","https://openalex.org/W2963881378","https://openalex.org/W2968752509","https://openalex.org/W2970435330","https://openalex.org/W2981804141","https://openalex.org/W2983717970","https://openalex.org/W3039217128","https://openalex.org/W6639824700","https://openalex.org/W6780265528"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W4367336074","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949"],"abstract_inverted_index":{"Due":[0],"to":[1,13,42,50,69,79,138,142,158,169],"the":[2,5,15,43,51,86,120,160,171,184],"urgency":[3],"of":[4,17,31,45,53,88,122,162,173,175,180,192],"Climate":[6,116],"Change":[7],"phenomenon,":[8],"it":[9],"has":[10,48],"become":[11],"important":[12],"estimate":[14],"rate":[16,172],"deforestation":[18,176],"in":[19],"various":[20],"countries":[21],"since":[22],"forests":[23],"are":[24,40,112],"essential":[25],"for":[26,62,105],"oxygen":[27],"generation.":[28],"The":[29],"advent":[30],"popular":[32],"machine":[33,134],"learning":[34],"algorithms,":[35],"such":[36,55,91,127],"as":[37,56,92],"those":[38],"that":[39],"applied":[41],"field":[44],"computer":[46],"vision,":[47],"led":[49],"use":[52,121,166],"approaches,":[54],"fully":[57],"convolutional":[58],"neural":[59],"networks":[60],"(FCN),":[61],"performing":[63],"semantic":[64,153],"segmentation":[65,154],"on":[66,155],"satellite":[67,156],"images":[68,157],"determine":[70,159,170],"forested":[71,163],"and":[72,135,165,190],"non-forested":[73],"areas.":[74],"However,":[75],"these":[76,97],"models":[77],"tend":[78],"be":[80,101],"computationally":[81,124],"intensive":[82,125],"and,":[83],"even":[84],"with":[85],"advancement":[87],"specialized":[89],"hardware":[90],"GPU’s":[93],"(Graphical":[94],"Processing":[95],"Units),":[96],"approaches":[98,126],"can":[99],"still":[100],"quite":[102],"costly":[103],"especially":[104],"Small":[106],"Island":[107],"Developing":[108],"States":[109],"(SIDS)":[110],"which":[111],"dis-proportionally":[113],"affected":[114],"by":[115],"Change.":[117],"We":[118,151,182],"consider":[119],"less":[123],"as,":[128],"logistic":[129],"regression,":[130],"linear":[131],"support":[132],"vector":[133],"Naive":[136],"Bayes":[137],"achieve":[139],"similar":[140],"performance":[141],"a":[143,147,178],"FCN":[144],"but":[145],"at":[146],"much":[148],"lower":[149],"cost.":[150],"perform":[152],"percentage":[161],"areas":[164],"this":[167],"information":[168],"change":[174],"over":[177],"period":[179],"time.":[181],"compare":[183],"performance,":[185],"computing":[186],"requirements,":[187],"storage":[188],"requirements":[189],"robustness":[191],"different":[193],"Machine":[194],"Learning":[195],"techniques.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}